This book includes papers from the 5th International Conference on Robot Intelligence Technology and Applications held at KAIST, Daejeon, Korea on December 13-15, 2017. It covers the following areas: artificial intelligence, autonomous robot navigation, intelligent robot system design, intelligent sensing and control, and machine vision. The topics included in this book are deep learning, deep neural networks, image understanding, natural language processing, speech/voice/text recognition, reasoning & inference, sensor integration/fusion/perception, multisensor data fusion, navigation/SLAM/localization, distributed intelligent algorithms and techniques, ubiquitous computing, digital creatures, intelligent agents, computer vision, virtual/augmented reality, surveillance, pattern recognition, gesture recognition, fingerprint recognition, animation and virtual characters, and emerging applications. This book is a valuable resource for robotics scientists, computer scientists, artificial intelligence researchers and professionals in universities, research institutes and laboratories.

We are facing a new technological challenge on how to store and retrieve knowledge and manipulate intelligence for autonomous services by intelligent systems which should be capable of carrying out real world tasks autonomously. To address this issue, robot researchers have been developing intelligence technology (InT) for "robots that think" which is in the focus of this book. The book covers all aspects of intelligence from perception at sensor level and reasoning at cognitive level to behavior planning at execution level for each low level segment of the machine. It also presents the technologies for cognitive reasoning, social interaction with humans, behavior generation, ability to cooperate with other robots, ambience awareness and an artificial genome that can be passed on to other robots. These technologies are to materialize cognitive intelligence, social intelligence, behavioral intelligence, collective intelligence, ambient intelligence and genetic intelligence. The book aims at serving researchers and practitioners with a timely dissemination of the recent progress on robot intelligence technology and its applications, based on a collection of papers presented at the at the 2nd International Conference on Robot Intelligence Technology and Applications (RiTA), held in Denver, USA, December 18-20, 2013.

This book explores the concept of artificial intelligence based on knowledge-based algorithms. Given the current hardware and software technologies and artificial intelligence theories, we can think of how efficient to provide a solution, how best to implement a model and how successful to achieve it. This edition provides readers with the most recent progress and novel solutions in artificial intelligence. This book aims at presenting the research results and solutions of applications in relevance with artificial intelligence technologies. We propose to researchers and practitioners some methods to advance the intelligent systems and apply artificial intelligence to specific or general purpose. This book consists of 13 contributions that feature fuzzy (r, s)-minimal pre- and -open sets, handling big coocurrence matrices, Xie-Beni-type fuzzy cluster validation, fuzzy c-regression models, combination of genetic algorithm and ant colony optimization, building expert system, fuzzy logic and neural network, individual role adaptation for team sports, application of polynomial neural networks, recursive neuro-fuzzy algorithm for water management, application of interactive genetic algorithm, and Artificial Neural Network (ANN) model. This edition is published in original, peer reviewed contributions covering from initial design to final prototypes and verification.

In recent years, robots have been built based on cognitive architecture which has been developed to model human cognitive ability. The cognitive architecture can be a basis for intelligence technology to generate robot intelligence. In this edited book the robot intelligence is classified into six categories: cognitive intelligence, social intelligence, behavioral intelligence, ambient intelligence, collective intelligence and genetic intelligence. This classification categorizes the intelligence of robots based on the different aspects of awareness and the ability to act deliberately as a result of such awareness. This book aims at serving researchers and practitioners with a timely dissemination of the recent progress on robot intelligence technology and its applications, based on a collection of papers presented at the 1st International Conference on Robot Intelligence Technology and Applications (RiTA), held in Gwangju, Korea, December 16-18, 2012. For a better readability, this edition has the total 101 papers grouped into 3 chapters: Chapter I: Cognitive Intelligence, Social Intelligence and Behavioral Intelligence, Chapter II: Ambient Intelligence, Collective Intelligence and Genetic Intelligence, Chapter III: Intelligent Robot Technologies and Applications.

Multi-agent systems (MAS) are often understood as complex entities where a multitude of agents interact, usually with some intended individual or collective goals.Such a view usually assumessomeform of organization, or set of norms or conventions that articulate or restrain interactions in order to make them more e?ective, certain, or predictable for participants. Engineering e?ective coordi- tion or regulatory mechanisms is a key problem for the design of open complex multi-agent systems. In recent years, social and organizational aspects of agency have become a major issue in MAS research especially in applications on service-oriented c- puting, grid computing and ambient intelligence. These applications enforce the need for using these aspects in order to ensure social order within these en- ronments. Openness, heterogeneity, and scalability of MAS pose new demands on traditional MAS interaction models. Therefore, the view of coordination and controlhasto be expanded to consider not onlyan agent-centricperspective but also societal and organization-centric views. However, agent autonomy is often needed for concretely implementing social order, because autonomousagents can intelligently adapt the designedorgani- tion to particular cases and can face unpredicted events. From this perspective autonomy can also be a possible source of internal change in the designed or- nizational constructs. Di?erently, autonomous behavior can also originate forms of self-organizationwhich emerge out of local interactions and are only partially externally programmed. In such situations the self-organized order and the - ternally designed organization can even be in con?ic

This book constitutes the thoroughly refereed post-proceedings of the International Workshop on Coordination, Organization, Institutions and Norms in Agent Systems, COIN 2006, held as two events at AAMAS 2006, the 5th International Joint Conference on Autonomous Agents and Multiagent Systems in Hakodate, Japan, and ECAI 2006, the 17th European Conference on Artificial Intelligence in Riva del Garda, Italy.

This book constitutes the refereed post-proceedings of the International Workshop on Agents, Norms and Institutions for Regulated Multiagent Systems, ANIREM 2005, and the International Workshop on Organizations in Multi-Agent Systems, OOOP 2005, held in Utrecht, The Netherlands, July 2005. This is the first volume in a new series on issues in Coordination, Organizations, Institutions and Norms (COIN) in multi-agent systems. Topics include modeling, analyzing and programming organizations and more.